StackTrack Professional Services
Cloud migration is not the goal. An operable platform is.
Move workloads to the cloud with clearer migration strategy, stronger platform foundations, and Secure by Design controls that still work after cutover.
ISO 27001:2022GDPRWhat it is
For organisations comparing cloud migration services, the important question is not just who can move the workloads, but who can design the platform the team will depend on afterwards.
StackTrack Cloud Migrations is a service for teams moving applications, data, and platform responsibility into a new cloud environment without inheriting a new set of cost, security, and ownership problems.
The service covers migration planning, target platform design, landing-zone foundations, workload transition, and the operational model needed to support change after the move.
This is not migration as a one-off relocation project. It is a platform-led service designed to leave teams with a stronger operating model.
How StackTrack approaches migration
StackTrack takes a platform-first approach. The provider matters, but the harder problem is designing an environment that your team can operate safely, change consistently, and govern without relying on tribal knowledge.
That means shaping migration around platform operability, secure-by-design controls, workload strategy, delivery readiness, and long-term ownership rather than only around infrastructure movement.
Decide whether migration is the right move before committing to it
Choose the right migration strategy for each workload
Design identity, networking, and delivery controls early
Build the target environment for Day-2 operability
Move in controlled waves with clear rollback thinking
When teams need this service
Cloud migration becomes urgent when the current estate is slowing delivery, increasing risk, or making future platform decisions harder.
Legacy infrastructure needs to move to a modern cloud platform
A cloud estate has become difficult to govern or operate
The team is considering AWS, Azure, or GCP and needs a clearer decision
Growth is exposing scaling, resilience, or environment consistency issues
Compliance or customer requirements are forcing stronger controls
The organisation needs a phased migration rather than a big-bang move
Avoid major pitfalls
Why migrations underperform
Most migrations do not fail because a cloud platform is unavailable. They underperform because the target environment is treated as a destination instead of an operating platform.
Costs rise without enough control or visibility
Security and access boundaries are designed too late
Environments become fragile or drift between teams
Delivery pipelines break or lose consistency
Ownership is unclear after cutover
A single migration approach is forced onto every workload
When those problems are not addressed upfront. The cloud estate inherits the same delivery friction as the legacy environment, only with new commercial and operational complexity layered on top.
What we will not do
This service is differentiated as much by what it avoids as by what it delivers.
Recommend cloud by default if the case is weak
Treat lift-and-shift as the answer for every workload
Rely on vendor defaults where they create security or operability risk
Leave identity, networking, and ownership decisions until late in the programme
Treat cutover as the finish line and ignore what the team has to run afterwards
What you get
Target platform architecture
A practical architecture for the target cloud environment that fits delivery, security, and operational needs.
Landing-zone and environment design
A baseline cloud environment with consistent structure, controls, and environment patterns.
Identity and access model
Role boundaries, service identities, and permission design that reduce access sprawl and improve auditability.
Delivery and release workflows
CI/CD and deployment controls that support safer change before, during, and after migration.
Observability baseline
Shared visibility across workloads, environments, and migration waves so teams can detect and resolve issues quickly.
Migration sequencing and cutover plan
A staged plan for workload movement, dependency handling, validation, rollback, and operational handover.
What we deliver
Practical delivery support across cloud, DevOps and engineering leadership.
AWS Cloud Migration
StackTrack helps teams move to AWS without letting provider breadth become operational sprawl.
Azure Cloud Migration
StackTrack helps teams migrate to Azure with a clearer operating model around subscriptions, identity, networking, and delivery standards.
GCP Cloud Migration
StackTrack helps teams migrate to GCP with a clearer operating model around projects, identity, networking, and workload design.
Trusted by teams shipping globally
Customer-rated 4.9/5 for responsiveness and real-world impact.
Customer-rated 4.9/5
Average rating across delivery and support engagements.
Proven with engineering-led organisations
Including Linux Foundation, LVMH Digital, Markel and others.
Senior engineers, not a rotating bench
Experienced operators who can unblock teams fast.
Security & compliance built-in
ISO 27001-aligned operations and GDPR-conscious delivery.
Outcome focus
Fewer failed builds, faster releases, and calmer on-call.
How the service works
Pathways
- AWS cloud migration.
Plan and execute migration to AWS with clearer platform, identity, and cost decisions.
- GCP cloud migration.
Move to Google Cloud with stronger delivery foundations and better workload fit.
- Azure cloud migration.
Build a migration path into Azure with practical governance, networking, and operational thinking.
- Cloud exit strategy.
Leave or rebalance a cloud platform without losing operational control.
Process
Assess.
Review the current estate, migration drivers, workload dependencies, and operational constraints so the programme has a credible business and technical case.
Design.
Define the target platform, landing-zone controls, identity model, environment structure, and migration sequencing.
Build.
Establish the cloud foundation, delivery paths, observability, and guardrails needed before workloads move.
Migrate.
Transition workloads in controlled stages, validating security, performance, and operational behaviour as each wave lands.
Operate.
Stabilise ownership, support, optimisation, and continuous improvement so the migrated estate becomes easier to run over time.
Platforms and Controls
- AWS, Azure, and Google Cloud.
Platform decisions should be driven by workload fit, team experience, and operating model, not just provider popularity.
- Infrastructure as Code.
Repeatable provisioning and change control help migration environments stay consistent as new workloads land.
- Identity and access tooling.
Access boundaries, service identities, and role design need to be built into the migration path early.
- CI/CD and release controls.
Delivery workflows need to survive the move without introducing new release fragility.
- Observability stack.
Monitoring, telemetry, and runtime visibility should be part of the migration baseline, not a later hardening task.
- Governance and cost controls.
The target cloud needs practical mechanisms for policy, evidence, usage visibility, and spend discipline.
Engagement Models
- Readiness and strategy.
Assess the estate, define the case for change, and shape the migration plan before delivery work starts.
- Foundation and landing zone.
Build the target cloud baseline, environment model, access patterns, and delivery controls.
- Migration waves.
Move workloads in planned stages with dependency awareness, validation, and rollback thinking.
- Post-migration operating model.
Improve ownership, observability, cost control, and delivery quality after the move.
- AWS cloud migration.
Plan and execute migration to AWS with clearer platform, identity, and cost decisions.
- GCP cloud migration.
Move to Google Cloud with stronger delivery foundations and better workload fit.
- Azure cloud migration.
Build a migration path into Azure with practical governance, networking, and operational thinking.
- Cloud exit strategy.
Leave or rebalance a cloud platform without losing operational control.
Capabilities
Good Start
Readiness and assessment
Assess the current estate, migration drivers, workload constraints, and commercial rationale before committing to the programme shape.
Best Practice
Landing-zone foundation
Design the target environment with identity, networking, environment standards, and guardrails that support safer long-term operation.
Right Workload
Workload strategy selection
Choose the right migration path for each workload, from rehost and replatform to deeper redesign where the platform demands it.
Compliance
Governance, security, and cost
Build access control, compliance thinking, cost guardrails, and operational governance into the platform rather than layering them on afterwards.
Improvement
Modernisation and optimisation
Improve the parts of the estate that need a better long-term cloud fit so the migration leaves a cleaner, more useful platform behind.
Frequently Asked Questions
DevOps Maturity Assessment
Understand your current state and get a tailored improvement plan.
Talk to the team
Customer proof